Evidence map›Paper›PMID 35919505›Full record

ArticleWellcome open research2021

Bias from questionnaire invitation and response in COVID-19 research: an example using ALSPAC.

Alba Fernández-Sanlés, Daniel Smith, Gemma L Clayton, Kate Northstone, Alice R Carter, Louise Ac Millard, Maria Carolina Borges, Nicholas John Timpson, Kate Tilling, Gareth J Griffith and 1 more

Open access · goldAbstract read
In one paragraph

Article in Wellcome open research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Alba Fernández-Sanlés *MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0002-3587-8177
Daniel Smith *MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0001-6467-2023
Gemma L ClaytonMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0002-9525-2758
Kate NorthstonePopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK.ORCID https://orcid.org/0000-0002-0602-1983
Alice R CarterMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0003-2817-4195
Louise Ac MillardMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0003-4787-8411
Maria Carolina BorgesMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Nicholas John TimpsonMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0002-7141-9189
Kate TillingMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Gareth J GriffithMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0003-0481-3175
Deborah A LawlorMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0002-6793-2262
University of Bristol · GB

Funding

British Heart Foundation CH/F/20/90003Medical Research Council MC_UU_00011/3Medical Research Council MC_UU_00011/6Wellcome Trust 217065Wellcome Trust 221574
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

ALSPACCOVID-19COVID-19 risk factorsLongitudinal StudyMissing DataQuestionnaire InvitationQuestionnaire Response.Selection Bias

Identifiers

PMID35919505
PMCPMC9294498
OpenAlexW3185424197

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.